Non-mixture cure model for interval censored data: a simulation study

QR Code

Non-mixture cure model for interval censored data: a simulation study

With the ongoing advance in the medical sciences, we may quite often encounter data sets where some patients have been cured from disease. Standard survival models are usually not appropriate for modeling such data because they simply do not take into account the possibility of cure. In this article...

Full description

Bibliographic Details
Main Authors:	Taweab, Fauzia, Ibrahim, Noor Akma, Arasan, Jayanthi, Abu Bakar, Mohd Rizam
Format:	Article
Language:	English
Published:	Institute for Mathematical Research, Universiti Putra Malaysia 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/39049/ http://psasir.upm.edu.my/id/eprint/39049/1/39049.pdf

Similar Items

Cure fraction model for interval censoring with a change point based on a covariate threshold
by: Taweab, Fauzia, et al.
Published: (2015)

Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold
by: Ali Taweab, Fauzia
Published: (2015)

A bounded cumulative hazard model with a change-point according to a threshold in a covariate for right-censored data
by: Taweab, Fauzia, et al.
Published: (2015)

Simulation of interval censored data in medical and biological studies.
by: Kiani, Kaveh, et al.
Published: (2011)

Rank-based inference for the accelerated failure time model in the presence of interval censored data
by: Karimi, Mostafa, et al.
Published: (2016)

Parametric maximum likelihood estimation of cure fraction using interval-censored data
by: Aljawadi, Bader Ahmad I., et al.
Published: (2013)

Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data
by: Aljawadi, Bader Ahmad I., et al.
Published: (2012)

A resampling method for estimating the covariance matrix in semiparametric accelerated failure time model with interval censored data
by: Karimi, Mostafa, et al.
Published: (2016)

An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.
by: I. Aljawadi , Bader Ahmad, et al.
Published: (2011)

Non-parametric estimation of cure fraction using right censored data.
by: I. Aljawadi, Bader Ahnad, et al.
Published: (2011)

Inferential procedures for log logistic distribution with doubly interval censored data
by: Loh, Yue Fang, et al.
Published: (2017)

A parametric model for doubly interval censored lifetime
by: Loh, Yue Fang, et al.
Published: (2017)

Cure rate models: a review of recent progress with a study of change-point cure models when cured is partially known
by: Taweab, Fauzia, et al.
Published: (2014)

A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on beta-Weibull distribution
by: Yusuf, Madaki Umar, et al.
Published: (2016)

Double bootstrap confidence interval estimates with censored and truncated data
by: Arasan, Jayanthi, et al.
Published: (2014)

Bootstrap based diagnostics for survival regression model with interval and right-censored data
by: Arasan, Jayanthi, et al.
Published: (2022)

Performance of hypothesis tests for Gompertz distribution with right and interval censored data
by: Tanusha Nagaraju,, et al.
Published: (2024)

Performance of hypothesis tests for gompertz distribution with right and interval censored data
by: Nagaraju, Tanusha, et al.
Published: (2024)

Single covariate log-logistic model adequacy with right and interval censored data
by: Lai, Ming Choon, et al.
Published: (2020)

Single covariate log-logistic model adequacy with right and interval censored data
by: Lai, Ming Choon, et al.
Published: (2020)

Modified outlier diagnostics for the extended exponential regression model with interval and right-censored data
by: Arasan, Jayanthi, et al.
Published: (2024)

Non-parametric maximum likelihood estimation of cure fraction for interval survival data.
by: I. Aljawadi, Bader Ahmad, et al.
Published: (2011)

Comparison of several imputation techniques for log logistic model with covariate and interval censored data
by: Teea, Yuan Xin, et al.
Published: (2024)

Comparison of several imputation techniques for log logistic model with covariate and interval censored data
by: Teea, Yuan Xin, et al.
Published: (2024)

Simulation of left-truncated and case-k interval censored survival data with time-varying covariates
by: Manoharan, Thirunanthini, et al.
Published: (2016)

Interval estimations for parameters of gompertz model with time-dependent covariate and right censored data
by: Kaveh Kiani,, et al.
Published: (2012)

Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
by: Aljawdi, Bader
Published: (2011)

A cluster sampling approach for regression analysis of interval censored failure time data
by: Arlin, Rifina, et al.
Published: (2009)

Parameter estimation of the cure fraction based on BCH model using left-censored data with covariates.
by: I. Aljawadi, Bader Ahnad, et al.
Published: (2011)

A bayesian via laplace approximation on log-gamma model with censored data
by: Yusuf, Madaki Umar, et al.
Published: (2016)

Generalized exponential distribution with interval-censored data and time dependent covariate
by: Ali Al-Hakeem, Hussein, et al.
Published: (2022)

Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data
by: Naushad Ali, Ahmad Kabeer, et al.
Published: (2024)

Jackknife and bootstrap inferential procedures for censored survival data
by: Loh, Yue Fang, et al.
Published: (2014)

Cure models based on Weibull distribution with and without covariates using right censored data
by: Yusuf, Madaki Umar, et al.
Published: (2016)

Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
by: AL-Hakeem, Hussein Ali, et al.
Published: (2022)

Assessing the goodness of fit of the Gompertz model in the presence of right and interval censored data with covariate
by: Azid @ Maarof, Nur Niswah Naslina, et al.
Published: (2020)

Modeling lifetime of parallel components system with covariate, right and interval censored data
by: Teong, X. H., et al.
Published: (2021)

Bayesian statistical inference of loglogistic model with interval-censored lifetime data
by: Guure, Chris Bambey, et al.
Published: (2015)

Inferential procedures based on the double bootstrap for log logistic regression model with censored data
by: Loh, Yue Fang, et al.
Published: (2015)

Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate
by: Manoharan, Thirunanthini, et al.
Published: (2020)